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The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Models.

, , , , and . WANLP, page 92-104. Association for Computational Linguistics, (2021)

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Hybrid Natural Language Generation from Lexical Conceptual Structures., , and . Mach. Transl., 18 (2): 81-128 (2003)Data Augmentation Techniques for Machine Translation of Code-Switched Texts: A Comparative Study., , and . CoRR, (2023)A Morphologically Annotated Corpus of Emirati Arabic., , , , , and . LREC, European Language Resources Association (ELRA), (2018)CoNLL-UL: Universal Morphological Lattices for Universal Dependency Parsing., , , , , , , and . LREC, European Language Resources Association (ELRA), (2018)Arabic Tokenization, Part-of-Speech Tagging and Morphological Disambiguation in One Fell Swoop., and . ACL, page 573-580. The Association for Computer Linguistics, (2005)Sentence Level Dialect Identification for Machine Translation System Selection., , , , and . ACL (2), page 772-778. The Association for Computer Linguistics, (2014)Joint Diacritization, Lemmatization, Normalization, and Fine-Grained Morphological Tagging., and . ACL, page 8297-8307. Association for Computational Linguistics, (2020)Arabic Morphological Tagging, Diacritization, and Lemmatization Using Lexeme Models and Feature Ranking., , , , and . ACL (2), page 117-120. The Association for Computer Linguistics, (2008)Building a Corpus for Palestinian Arabic: a Preliminary Study., , , and . ANLP@EMNLP, page 18-27. Association for Computational Linguistics, (2014)NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task., , , and . WANLP@COLING, page 97-110. Association for Computational Linguistics, (2020)